Category: ipython

How to make beautiful data visualizations in Python with matplotlib

Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O’Reilly. It’s been well over a year since I wrote my last tutorial, so I figure I’m overdue.

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Sagemath Cloud makes collaborating with IPython Notebooks easier than ever

Earlier this year, Sagemath Cloud went into open beta so anyone can play around with it. If you’re not familiar with the service, it’s a free cloud-based web service that provides access to personal directories, a terminal, IPython Notebook (incl.

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IPython Notebook workshop report: still plagued by installation issues

Update (Nov. 2014): IPython Notebook installation has advanced considerably since I originally published this post. Check out the Anaconda Python Distribution for an easy one-click installer for all your Python library needs. Today I ran a small (~20 person) 1-hour

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Filling in Python’s gaps in statistics packages with Rmagic

Have you ever found yourself searching for a statistics package in Python, but it just isn’t available? This is the biggest reason I’ve heard when my colleagues say they’re unwilling to make the switch from R to Python for statistical

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Statistical analysis made easy in Python with SciPy and pandas DataFrames

I finally got around to finishing up this tutorial on how to use pandas DataFrames and SciPy together to handle any and all of your statistical needs in Python. This is basically an amalgamation of my two previous blog posts

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A short demo on how to use IPython Notebook as a research notebook

As promised, here’s the IPython Notebook tutorial I mentioned in my introduction to IPython Notebook. Downloading and installing IPython Notebook You can download IPython Notebook with the majority of the other packages you’ll need in the Anaconda Python distribution. From

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IPython Notebook: Finally, the research notebook I’ve always been looking for is here!

I attended a Software Carpentry workshop hosted by Titus Brown and Greg Wilson this week and was introduced to, among many other things, a piece of software that I’ve been looking for ever since I started my graduate program: IPython

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